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On derivatives and information costs
Institution:1. Department of Finance, Ling Tung University of Science and Technology, Taiwan;2. Department of Finance, National Yunlin University of Science and Technology, Taiwan;1. Graduate Institute of Finance, National Chiao Tung University, 1001 Ta-Hsueh Rd., Hsinchu City 30010, Taiwan, ROC;2. Department of Business Administration, Fu Jen Catholic University, 510, Zhongzheng Rd., Xinzhuang Dist., New Taipei City 24205, Taiwan, ROC;3. Graduate Institute of Business Administration, Fu Jen Catholic University, 510, Zhongzheng Rd., Xinzhuang Dist., New Taipei City 24205, Taiwan, ROC;1. D.G.A. Supervisión, Banco de España, C/ Alcalá 48, 28014 Madrid, Spain;2. Facultad de Ciencias Económicas y Empresariales. Universidad de Alcalá, Plaza de la Victoria, 2, 28802, Alcalá de Henares, Madrid, Spain
Abstract:Information plays a central role in capital markets and in the process of asset pricing. The specific features of over-the-counter (OTC) markets require often an investment in information acquisition. Information costs can be defined in the context of Merton's Merton, R. (1987). A simple model of capital market equilibrium with incomplete information. Journal of Finance, 42, 483–510] model of capital market equilibrium with incomplete information (CAPMI). In this context, hedging portfolios can be constructed and analytic formulas can be derived using the Black and Scholes technology or the martingale method. This paper presents a simple framework for the valuation of exotic derivatives and OTC traded securities in this context. We incorporate information costs into a model, and then use this new model to price a variety of exotic options using the general context in Bellalah Bellalah, M. (2001). Market imperfections, information costs and the valuation of derivatives: Some general results. International Journal of Finance, 13, 1895–1928]. In each case, simple analytic formulae are derived.From a pedagogical viewpoint, we illustrate the methodology and propose simple analytic formulas for pay-on-exercise options, power derivatives, outperformance options, guaranteed exchange-rate contracts in foreign stock investments, equity-linked foreign exchange options and quantos in the same context. These formulae are simple and have the potential to explain some deviations with respect to the standard Black–Scholes model. We can use also stochastic volatilities and information costs to explain the smiles and skews found in options price data as in Bellalah, Prigent, and Villa Bellalah, M., Prigent, J. L., & Villa, C. (2001). Skew without skewness: Asymmetric smiles, information costs and stochastic volatilitiy, International Journal of Finance, 2001, 1826, 1837] or Bellalah and Mahfoudh (2004) Bellalah M. and Mahfoudh S. (2004). Option pricing under stochastic volatility with incomplete Information, Wilmott Magazine]. Our methodology can be applied for the valuation of several OTC and real options in the presence of incomplete information.
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